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• Machine-Learning-For-Trading-master
  • 20_slicing_v2.py
  • 42b_data_from_bitfinex.py
  • 11_stock_price_plotting.py
  • 27_bollinger_bands.py
  • 40_portfolio_optimization.py
  • 18_array_operations.py
  • 12_stock_price_plotting_range_and_companies.py
  • 28_daily_returns.py
  • 08_joining_two_df.py
  • 09_multiple_stocks.py
  • 39_fit_polynomial.py
  • 22_accessing_elements.py
  • 06_plotting_high_price_IBM.py
  • 03_max_closing_price.py
  • 15_empty_array.py
  • 04_mean_volume.py
  • 05_plotting.py
  • LICENSE
  • 23_accessing_elements_2D.py
  • 45_crypto_optimized.py
  • 21_replacing_elements.py
  • 36_sharpe_ratio.py
  • 33_scatter_tendency_plot.py
  • 42_data_from_poloniex.py
  • 26_statistics.py
  • 14_numpy.py
  • 01_read_csv.py
  • 30_fillings_gaps.py
  • 29_cumulative_returns.py
  • 02_row_selection.py
  • data
    • TSLA.csv
    • IBM.csv
    • old
      • IBM.csv
      • GOOG.csv
      • FB.csv
      • GLD.csv
    • dependancies.txt
    • FB.csv
    • data_downloader.py
  • 35_daily_portfolio_value.py
  • 07_plotting_two_columns.py
  • 43_painless_qlearning.py
  • 31_histogram.py
  • 16_array_of_ones.py
  • 34_correlation.py
  • README.md
  • 13_normalized_data.py
  • 10_row_and_column_slicing.py
  • 25_arithmetic operations.py
  • 17_generate_random.py
  • 32_two_histograms.py
  • 37_minimizer.py
  • 41_historical_data_from_cryptocompare.py
  • 44_GUI.py
  • 38_fit_line.py
  • 24_mask.py
  • 19_locate_minimum.py

Machine-Learning-For-Trading